We design and build software, data platforms, artificial intelligence and mathematical models for organisations that need reliable systems ready for production.
Founder's professional background
We work on projects where software, data, models and infrastructure form a single system. Before building, we establish the objective, the users, the constraints, the risks and the operating environment.
Data engineering
We bring data sources, business rules and operational workflows into a coherent architecture. Quality, lineage, ownership and cost are built into the design rather than added later.
Lakehouse architectures · regulated environments · global supply chains
Artificial intelligence
A model creates value only when it works with the right data, permissions, tools and people. We design evaluation, latency, cost controls and failure handling as part of the system.
Production LLM systems · document retrieval · enterprise integration
Machine learning
We design the full lifecycle: feature engineering, training, validation, deployment and monitoring. Each model is tied to a decision and an accountable owner.
Risk models · scientific research · production monitoring
Mathematical optimisation
We model planning, allocation, routing and scheduling around the constraints that exist in practice. Mathematical optimisation, simulation and software produce decisions people can understand and use.
Routing · resource allocation · planning under multiple constraints
Scientific computing
We turn experimental workflows into maintainable software without compromising scientific rigour. Data, parameters and results remain traceable, repeatable and ready for further analysis.
Genomics platforms · oncology data · published biomedical research
Custom software
We build portals, applications and services around the way each organisation actually works. Product, backend and data are designed together to simplify processes and remove manual work.
Operational portals · public-sector processes · backend and data services
Selected work from the founder's career across enterprise platforms, regulated banking, consumer goods, global digital services, genomics and oncology research. Different sectors, one consistent requirement: reliable technology that works in practice.
Selected experience
01/05
Every engagement starts with a concrete outcome: a platform, an application, a model in production, an architecture decision or a migration. We work closely with the people who understand the problem and will ultimately operate the solution.
We examine the current system, its data, users, constraints and risks. The aim is to define the decision that must be made and the outcome the work must achieve.
We set out the options, trade-offs and risks. The architecture is reasoned through before significant time and budget are committed to the critical parts.
Implementation focuses on what creates value and makes production possible: data, infrastructure, logic, interfaces and operational behaviour.
We leave repositories, infrastructure, operational documentation and decision records in a state the team can maintain and evolve independently.
Tools change; sound engineering does not. What matters is understanding the constraints, explaining the choices and keeping the system clear as it grows.
Data quality, latency, permissions, retries and drift are considered from the outset, not after problems appear.
Every architectural choice is explained with its alternatives, consequences and fit with the client context.
Code, infrastructure, documentation and knowledge are part of the delivery and remain with the client team.
We favour readable systems, direct interfaces and predictable operations over complexity that adds no value.
Sunny Data is an independent technology consultancy based in Spain. Every engagement is led by the founder, who remains directly involved in discovery, architecture, implementation and delivery.
We combine software and data engineering, artificial intelligence, mathematical optimisation and scientific computing. This breadth allows us to address the whole system rather than one isolated component.
Our way of working is direct and productive: understand the problem, make well-founded decisions, build what is needed and leave behind a clear, maintainable solution.
Professional background
Mathematician · Senior technologist
More than 20 years designing, building and running systems across telecommunications, entertainment, consumer goods, finance and biomedical research.
IBM · Nokia · Microsoft · BCC
Expertise
The sector changes, but the need is consistent: bring software, data, models and infrastructure together in a system that works and can evolve.
We turn complex technical problems into clear decisions and working systems. Tell us what you need to solve.